Fabrication modeling of industrial CO2 ionic liquids absorber by artificial neural networks

Abdollahi, Y. and Sairi, N.A. and Aroua, M.K. and Masoumi, H.R.F. and Jahangirian, H. and Alias, Y. (2015) Fabrication modeling of industrial CO2 ionic liquids absorber by artificial neural networks. Journal of Industrial and Engineering Chemistry, 25. pp. 168-175. ISSN 1226-086X, DOI https://doi.org/10.1016/j.jiec.2014.10.029.

[img] PDF (Fabrication modeling of industrial CO2 ionic liquids absorber by artificial neural networks)
Fabrication_modeling_of_industrial_CO2_ionic_liquids_absorber_by_artificial_neural_networks.pdf - Published Version
Restricted to Repository staff only

Download (1MB) | Request a copy
Official URL: http://www.sciencedirect.com/science/article/pii/S...


The fabrication of industrial CO2 blended solution absorber was modeled by artificial neutral network. First the generated model had been statistically evaluated and then its ability of prediction was confirmed by validation test. The validated model was used to predict the desirable density and relative importance of the fabrication's effective variables. In conclusion, the importance included xH2O, 36.18%, xgua, 25.37%, xMDEA, 25.34% and temperature, 13.11% which showed none of them is negligible as well as the density (g cm(-3)) was validated by further experiment that showed the actual density, 1.101, was quite close to the predicted value, 1.017. (C) 2014 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.

Item Type: Article
Funders: University of Malaya RP006F-13SUS, University of Malaya PR007D-13AET
Additional Information: ISI Document Delivery No.: CK4NL Times Cited: 1 Cited Reference Count: 36 Cited References: Abdollahi Y., 2013, CHEM CENT J, V7, P1 Abdollahi Y., 2012, CHEM CENT J, V6, P1 Abdollahi Y, 2014, CLEAN-SOIL AIR WATER, V42, P1292, DOI 10.1002/clen.201300451 Aber S, 2009, J HAZARD MATER, V171, P484, DOI 10.1016/j.jhazmat.2009.06.025 Aijun L., 2004, ACTA MAT, V52, DOI 10.1016/j.actamat.2003.09.020 Bates D. M., 1988, NONLINEAR REGRESSION Chakravarty T., 1985, CHEM ENG PROG US, V81, P60 Choi MJ, 2008, CLEAN-SOIL AIR WATER, V36, P426, DOI 10.1002/clen.200700176 Fredlake CP, 2004, PHYS CHEM CHEM PHYS, V6, P3280, DOI 10.1039/b400815d Garson G. D., 1991, AI EXPERT, V6, P46 Ghaffari A, 2006, INT J PHARMACEUT, V327, P126, DOI 10.1016/j.ijpharm.2006.07.056 Moghaddam Mansour Ghaffari, 2010, Electron. J. Biotechnol., V13, P3 Gutmann V, 1978, DONOR ACCEPTOR APPRO HADER RJ, 1978, TECHNOMETRICS, V20, P413, DOI 10.2307/1267641 Kabo GJ, 2004, J CHEM ENG DATA, V49, P453, DOI 10.1021/je034102r Kasiri MB, 2008, ENVIRON SCI TECHNOL, V42, P7970, DOI 10.1021/es801372q Kelley C. T., 1999, ITERATIVE METHODS OP Khare M., 2007, ARTIFICIAL NEURAL NE LI MH, 1992, J CHEM ENG DATA, V37, P288, DOI 10.1021/je00007a002 MANDELBR.B, 1967, SCIENCE, V156, P636, DOI 10.1126/science.156.3775.636 Marsh KN, 2004, FLUID PHASE EQUILIBR, V219, P93, DOI 10.1016/j.fluid.2004.02.003 Metz B., 2005, CARBON DIOXIDE CAPTU Ortega J.M., 2000, ITERATIVE SOLUTION N PALASOTA JA, 1992, J CHEM EDUC, V69, P560 Riesenfeld F., 1986, OIL GAS J US, V84, P20 Rochelle GT, 2009, SCIENCE, V325, P1652, DOI 10.1126/science.1176731 Sairi NA, 2011, FLUID PHASE EQUILIBR, V300, P89, DOI 10.1016/j.fluid.2010.10.011 Sakamoto H, 2005, IEICE T FUND ELECTR, VE88A, P1971, DOI 10.1093/ietfec/e88-a.7.1971, 10.1093/ietfec./e88-a.7.1971 Salari D, 2005, J HAZARD MATER, V125, P205, DOI 10.1016/j.jhazmat.2005.05.030 SARTORI G, 1983, IND ENG CHEM FUND, V22, P239, DOI 10.1021/i100010a016 Seo DJ, 1996, J CHEM ENG DATA, V41, P258, DOI 10.1021/je950197o Taniewski M, 2008, CLEAN-SOIL AIR WATER, V36, P393, DOI 10.1002/clen.200800029 Wang JF, 2009, FLUID PHASE EQUILIBR, V279, P87, DOI 10.1016/j.fluid.2009.02.011 Wasserscheid P., 2008, IONIC LIQUIDS SYNTHE, V2nd Weiland RH, 1998, J CHEM ENG DATA, V43, P378, DOI 10.1021/je9702044 Zhang J, 1998, CHEM ENG J, V69, P135, DOI 10.1016/S1385-8947(98)00069-2 Abdollahi, Yadollah Sairi, Nor Asrina Aroua, Mohamed Khereddine Masoumi, Hamid Reza Fard Jahangirian, Hossein Alias, Yatimah Engineering, Faculty /I-7935-2015 Engineering, Faculty /0000-0002-4848-7052 University of Malaya RP006F-13SUS, PR007D-13AET The author would like to express acknowledgment to University of Malaya for granting this project under Research Grant, no: RP006F-13SUS and PR007D-13AET. 1 ELSEVIER SCIENCE INC NEW YORK J IND ENG CHEM
Uncontrolled Keywords: Optimization, co2 capture, separation, greenhouse gases, ionic liquid, carbon-dioxide, n-methyldiethanolamine, solubilities, mixtures, density, systems, designs,
Subjects: T Technology > T Technology (General)
T Technology > TP Chemical technology
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 14 Apr 2016 06:52
Last Modified: 21 Mar 2019 06:55
URI: http://eprints.um.edu.my/id/eprint/15763

Actions (login required)

View Item View Item